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    <h1 class="title">Elasticsearch.Nest 教程系列 8 聚合：Writing Aggregations | 使用聚合</h1>
  


      
        <time datetime="2020-01-22T05:18:01.000Z">
          create: 2020-01-22 13:18:01 | update: 2020-01-23 12:15:44
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    <div class="entry">
      
      <blockquote>
<ul>
<li>本系列博文是“伪”官方文档翻译（更加本土化），并非完全将官方文档进行翻译，而是在查阅、测试原始文档并转换为自己真知灼见后的“准”翻译。有不同见解 / 说明不周的地方，还请海涵、不吝拍砖 ：）</li>
<li>官方文档见此：<a href="https://www.elastic.co/guide/en/elasticsearch/client/net-api/current/introduction.html" target="_blank" rel="noopener">https://www.elastic.co/guide/en/elasticsearch/client/net-api/current/introduction.html</a></li>
<li>本系列对应的版本环境：<a href="mailto:ElasticSearch@7.3.1" target="_blank" rel="noopener">ElasticSearch@7.3.1</a>，<a href="mailto:NEST@7.3.1" target="_blank" rel="noopener">NEST@7.3.1</a>，IDE 和开发平台默认为 VS2019，.NET CORE 2.1</li>
</ul>
</blockquote>
<hr>
<p>可以简单将 ES 中的聚合和 Sql server 中的“聚合函数（如 SUM，COUNT 等”）相关联。聚合可以嵌套，通过聚合可以找出某个字段的最大值，最小值，平均值，以及对字段进行求和操作等复杂数据的构建。</p>
<p>另外，ES 还提出了 buckets（桶） 这个概念，你可以简单理解为相当于是 Sql server 中的分组（GROUP BY），即在 ES 中的称 GROUP BY 为“分桶”。 </p>
<p>关于 Elasticsearch 中的聚合说明，可以<a href="https://www.elastic.co/guide/en/elasticsearch/reference/current/search-aggregations.html" target="_blank" rel="noopener">见此</a>。</p>
<h1 id="编写聚合"><a href="#编写聚合" class="headerlink" title="编写聚合"></a>编写聚合</h1><p>Nest 提供了 3 种方式来让你使用聚合：</p>
<ul>
<li>通过 lambda 表达式的方式。</li>
<li>通过内建的请求对象 AggregationDictionary。</li>
<li>通过结合二元运算符来简化 AggregationDictionary 的使用。</li>
</ul>
<p>假设有以下 Project 类：</p>
<p></p><p class="code-caption" data-lang="csharp" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="csharp">public class Project
{
    public string Name { get; set; }
    public int Quantity { get; set; }
}
</code></pre>
<p>三种方式的请求命令见下方：</p>
<a id="more"></a>
<p></p><p class="code-caption" data-lang="sh" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="sh">POST /project/_search?typed_keys=true
{
    &quot;aggs&quot;: { //关键字 aggregations，可以用 aggs 简写
        &quot;average_quantity&quot;: { //聚合的名字
            &quot;avg&quot;: {  //聚合的类型，可以理解为相当于 sql server 中的聚合函数
                &quot;field&quot;: &quot;quantity&quot;  //聚合体，对哪些字段进行聚合
            }
        },
        &quot;max_quantity&quot;: {
            &quot;max&quot;: {
                &quot;field&quot;: &quot;quantity&quot;
            }
        },
        &quot;min_quantity&quot;: {
            &quot;min&quot;: {
                &quot;field&quot;: &quot;quantity&quot;
            }
        }
    }
}
</code></pre>
<h2 id="lambda-方式"><a href="#lambda-方式" class="headerlink" title="lambda 方式"></a>lambda 方式</h2><p>通过 lambda 表达式来使用聚合是简洁的方式</p>
<p></p><p class="code-caption" data-lang="csharp" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="csharp">var searchResponse = _client.Search&lt;Project&gt;(s =&gt; s
    .Aggregations(aggs =&gt; aggs
        .Average(&quot;average_quantity&quot;, avg =&gt; avg.Field(p =&gt; p.Quantity))
        .Max(&quot;max_quantity&quot;, avg =&gt; avg.Field(p =&gt; p.Quantity))
        .Min(&quot;min_quantity&quot;, avg =&gt; avg.Field(p =&gt; p.Quantity))
    )
);
</code></pre>
<p>响应结果如下：</p>
<p></p><p class="code-caption" data-lang="json" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="json">{
    &quot;took&quot;: 2,
    &quot;timed_out&quot;: false,
    &quot;_shards&quot;: {
        &quot;total&quot;: 1,
        &quot;successful&quot;: 1,
        &quot;skipped&quot;: 0,
        &quot;failed&quot;: 0
    },
    &quot;hits&quot;: {
        &quot;total&quot;: {
            &quot;value&quot;: 6,
            &quot;relation&quot;: &quot;eq&quot;
        },
        &quot;max_score&quot;: 1.0,
        &quot;hits&quot;: [
            {
                &quot;_index&quot;: &quot;project&quot;,
                &quot;_type&quot;: &quot;_doc&quot;,
                &quot;_id&quot;: &quot;1&quot;,
                &quot;_score&quot;: 1.0,
                &quot;_source&quot;: {
                    &quot;name&quot;: &quot;Emma&quot;,
                    &quot;quantity&quot;: 1
                }
            },
            {
                &quot;_index&quot;: &quot;project&quot;,
                &quot;_type&quot;: &quot;_doc&quot;,
                &quot;_id&quot;: &quot;2&quot;,
                &quot;_score&quot;: 1.0,
                &quot;_source&quot;: {
                    &quot;name&quot;: &quot;Tran&quot;,
                    &quot;quantity&quot;: 2
                }
            },
            {
                &quot;_index&quot;: &quot;project&quot;,
                &quot;_type&quot;: &quot;_doc&quot;,
                &quot;_id&quot;: &quot;3&quot;,
                &quot;_score&quot;: 1.0,
                &quot;_source&quot;: {
                    &quot;name&quot;: &quot;Lucy&quot;,
                    &quot;quantity&quot;: 3
                }
            },
            {
                &quot;_index&quot;: &quot;project&quot;,
                &quot;_type&quot;: &quot;_doc&quot;,
                &quot;_id&quot;: &quot;4&quot;,
                &quot;_score&quot;: 1.0,
                &quot;_source&quot;: {
                    &quot;name&quot;: &quot;Geo&quot;,
                    &quot;quantity&quot;: 4
                }
            },
            {
                &quot;_index&quot;: &quot;project&quot;,
                &quot;_type&quot;: &quot;_doc&quot;,
                &quot;_id&quot;: &quot;5&quot;,
                &quot;_score&quot;: 1.0,
                &quot;_source&quot;: {
                    &quot;name&quot;: &quot;Luby&quot;,
                    &quot;quantity&quot;: 5
                }
            },
            {
                &quot;_index&quot;: &quot;project&quot;,
                &quot;_type&quot;: &quot;_doc&quot;,
                &quot;_id&quot;: &quot;6&quot;,
                &quot;_score&quot;: 1.0,
                &quot;_source&quot;: {
                    &quot;name&quot;: &quot;Han&quot;,
                    &quot;quantity&quot;: 6
                }
            }
        ]
    },
    &quot;aggregations&quot;: {
        &quot;avg#average_quantity&quot;: {
            &quot;value&quot;: 3.5
        },
        &quot;max#max_quantity&quot;: {
            &quot;value&quot;: 6.0
        },
        &quot;min#min_quantity&quot;: {
            &quot;value&quot;: 1.0
        }
    }
}
</code></pre>
<p>一般进行聚合查询的时候，并不需要 _source 的东西，所以你在进行聚合查询是，可以在查询语句上指定 size=0，这样就只会返回 聚合 的结果，方式如下：</p>
<p></p><p class="code-caption" data-lang="csharp" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="csharp">var searchResponse = _client.Search&lt;Project&gt;(s =&gt; s
    .Size(0)  //显式指定为 0
    .Aggregations(aggs =&gt; aggs
        .Average(&quot;average_quantity&quot;, avg =&gt; avg.Field(p =&gt; p.Quantity))
        .Max(&quot;max_quantity&quot;, avg =&gt; avg.Field(p =&gt; p.Quantity))
        .Min(&quot;min_quantity&quot;, avg =&gt; avg.Field(p =&gt; p.Quantity))
    )
);
</code></pre>
<p>调整后的返回结果如下：</p>
<p></p><p class="code-caption" data-lang="json" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="json">{
    &quot;took&quot;: 3,
    &quot;timed_out&quot;: false,
    &quot;_shards&quot;: {
        &quot;total&quot;: 1,
        &quot;successful&quot;: 1,
        &quot;skipped&quot;: 0,
        &quot;failed&quot;: 0
    },
    &quot;hits&quot;: {
        &quot;total&quot;: {
            &quot;value&quot;: 6,
            &quot;relation&quot;: &quot;eq&quot;
        },
        &quot;max_score&quot;: null,
        &quot;hits&quot;: []
    },
    &quot;aggregations&quot;: {
        &quot;avg#average_quantity&quot;: {
            &quot;value&quot;: 3.5
        },
        &quot;max#max_quantity&quot;: {
            &quot;value&quot;: 6.0
        },
        &quot;min#min_quantity&quot;: {
            &quot;value&quot;: 1.0
        }
    }
}
</code></pre>
<h2 id="通过内建对象-AggregationDictionary"><a href="#通过内建对象-AggregationDictionary" class="headerlink" title="通过内建对象 AggregationDictionary"></a>通过内建对象 AggregationDictionary</h2><p>以下代码的效果和通过 lambda 表达式的效果一样</p>
<p></p><p class="code-caption" data-lang="csharp" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="csharp">var searchRequest = new SearchRequest&lt;Project&gt;
{
    Size = 0,
    Aggregations = new AggregationDictionary
    {
        {&quot;average_quantity&quot;, new AverageAggregation(&quot;average_quantity&quot;, &quot;quantity&quot;)},
        {&quot;max_quantity&quot;, new MaxAggregation(&quot;max_quantity&quot;, &quot;quantity&quot;)},
        {&quot;min_quantity&quot;, new MinAggregation(&quot;min_quantity&quot;, &quot;quantity&quot;)},
    }
};
var searchResponse = _client.Search&lt;Project&gt;(searchRequest);
</code></pre>
<ul>
<li>这种方式在可读性上较差。</li>
</ul>
<h2 id="通过结合二元运算符来简化-AggregationDictionary-的使用"><a href="#通过结合二元运算符来简化-AggregationDictionary-的使用" class="headerlink" title="通过结合二元运算符来简化 AggregationDictionary 的使用"></a>通过结合二元运算符来简化 AggregationDictionary 的使用</h2><p>通过二元运算符，可以让代码的可读性更高，以下代码等效于上方：</p>
<p></p><p class="code-caption" data-lang="csharp" data-line_number="backend" data-trim_indent="backend" data-label_position="outer" data-labels_left="Code" data-labels_right=":" data-labels_copy="Copy Code"><span class="code-caption-label"></span></p><p></p>
<pre><code class="csharp">var searchRequest = new SearchRequest&lt;Project&gt;
{
    Size = 0,
    Aggregations = new AverageAggregation(&quot;average_quantity&quot;, &quot;quantity&quot;)
    &amp;&amp;new MaxAggregation(&quot;max_quantity&quot;, &quot;quantity&quot;)
    &amp;&amp;new MinAggregation(&quot;min_quantity&quot;, &quot;quantity&quot;)
};
var searchResponse = _client.Search&lt;Project&gt;(searchRequest);
</code></pre>
<h1 id="获取响应结果"><a href="#获取响应结果" class="headerlink" title="获取响应结果"></a>获取响应结果</h1><p>通过使用响应模型的 .Aggregations 属性，可以让你得到聚合的结果，如下：</p>
<p><img src="https://pic.zhuliang.ltd/20200122153437.png-c" alt></p>
<h1 id="保留关键字"><a href="#保留关键字" class="headerlink" title="保留关键字"></a>保留关键字</h1><p>在使用聚合功能的时候，需要避免跟 ES 保留关键字冲突，如以下关键字（包含但不限于）：</p>
<ul>
<li>“score”</li>
<li>“value_as_string”</li>
<li>“keys”</li>
<li>“max_score”</li>
</ul>

      

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